The authors introduce FAR, a method that combines the strengths of correspondence-based and learning-based approaches to achieve precise and robust 6DoF camera pose estimation.
絶対的な翻訳スケールを推定しながら、精度と堅牢性を兼ね備えた方法を提供する。
Proposing a distributed representation of camera pose using rays improves precision and performance in sparse-view settings.
Proposing iComMa, a method for accurate camera pose estimation by inverting 3D Gaussian Splatting, integrating matching and comparing strategies.
결합된 방법으로 유연하고 정확하며 견고한 상대 카메라 자세 추정
Kombination von Korrespondenz- und Lernmethoden für präzise und robuste Kamerapositionsschätzung.